System and method for assessing operational process risk and quality by calculating operational value at risk

Abstract

Methods and apparatus for assessing operational process quality and risk of an entity or a group of entities. The present invention enables a user to effectively compare one or more events, representing what actually happened, with a reference, which represents ideal performance in terms of operational process quality and risk, and express the corresponding results in quantitative terms. The present invention is capable of presenting results in a form and with sufficient rapidity that a human decision-maker is able to timely observe conditions which represent unacceptable quality or excessive risk and respond appropriately.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention[0002]The present invention relates generally to the field of process quality and risk assessment and, more specifically, to operational process quality and risk assessment in connection with financial services, and investment management organizations.[0003]2. Background Information[0004]Businesses which provide financial or investment management services are subject to a wide range of legal requirements which apply to their operational processes. Such requirements, which are typically statutory, regulatory or contractual in nature, govern or impact most aspects of the operations of such businesses. While some of these requirements are applicable to the business as a whole, many of them are applicable at the level of a single account holder or single account.[0005]Under ideal conditions, a business should be in compliance with all legal requirements at all times. However, in a large enterprise which is maintaining hundreds of...

AI Technical Summary

Benefits of technology

[0009]In one aspect of the invention, events are logged to the data store based on a predefined time period and resolution for a given entity. Selected reference metrics and operational process quality and risk metrics are then applied to the event data to calculate the operational value at risk for the predefined time period and resolution for the given entity. In addition, event data in the data store may be dynamically aggregated to effectively represent larger time periods, larger time resolutions and groups of entities.

Problems solved by technology

Of course, there is also the possibility of deliberate wrongdoing which results in a violation of a legal requirement and may constitute a crime.

Regardless of the underlying cause of a failure to comply with a legal requirement, the business may face substantial liability to aggrieved account holders or other businesses which are parties to particular transactions.

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